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# Autogenerated By   : src/main/python/generator/generator.py
# Autogenerated From : scripts/builtin/lasso.dml

from typing import Dict, Iterable

from systemds.operator import OperationNode, Matrix, Frame, List, MultiReturn, Scalar
from systemds.utils.consts import VALID_INPUT_TYPES


def lasso(X: Matrix,
          y: Matrix,
          **kwargs: Dict[str, VALID_INPUT_TYPES]):
    """
     Builtin function for the SpaRSA algorithm to perform lasso regression
     (SpaRSA .. Sparse Reconstruction by Separable Approximation)
    
    
    
    :param X: input feature matrix
    :param y: matrix Y columns of the design matrix
    :param tol: target convergence tolerance
    :param M: history length
    :param tau: regularization component
    :param maxi: maximum number of iterations until convergence
    :param verbose: if the builtin should be verbose
    :return: model matrix
    """

    params_dict = {'X': X, 'y': y}
    params_dict.update(kwargs)
    return Matrix(X.sds_context,
        'lasso',
        named_input_nodes=params_dict)
